ERIC Number: EJ1373136
Record Type: Journal
Publication Date: 2022
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2157-2100
Available Date: N/A
Towards Design-Loop Adaptivity: Identifying Items for Revision
Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam
Journal of Educational Data Mining, v14 n3 p1-25 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and various forms of content representation. We analyze the potential usefulness of these properties using both simulation and analysis of real data from a large-scale learning environment. We also describe two case studies where we practically apply the identification of attention-worthy items. Based on the analysis and case studies, we provide recommendations for practice and impulses for further research.
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies, Simulation, Reliability, Content Analysis, Computer Software, Learning Management Systems, Multiple Choice Tests, Test Items, Academic Achievement, Error Patterns, Learning Analytics, Reaction Time, Programming, Mathematics Instruction, English (Second Language), Second Language Learning, Second Language Instruction
International Educational Data Mining. e-mail: jedm.editor@gmail.com; Web site: https://jedm.educationaldatamining.org/index.php/JEDM
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
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Author Affiliations: N/A